Accurate wind power prediction is the basis to ensure the stable operation of wind power grid connection.In order to improve the accuracy of wind power prediction,this paper proposes a new prediction model,firstly,the chaos strategy is used to initialize the population,and the whale optimization algorithm(WOA)is optimized using the Harris Hawk strategy(HHO)with the adaptive weight strategy,and then the improved whale optimization algorithm(HHO-CAWOA)is used to optimize the long and short term memory neural network(LSTM)with the improved whale optimization algorithm(HHO-CAWOA)to optimize the number of neurons and the learning rate,and finally the model is used for wind power prediction.The model has higher prediction performance and better generalization ability and stability than other comparative models.
关键词
长短期记忆神经网络/鲸鱼优化算法/哈里斯鹰算法/风电功率预测
Key words
long and short term memory neural network/whale optimization algorithm/Harris Hawk algorithm/wind power prediction
维普
万方数据